Detection of Criminal Activities and Anomalies through CCTV’s

The project aims to develop an intelligent system that can detect unusual activities and crimes using CCTV cameras across the state. Since it is difficult to monitor multiple cameras simultaneously, we use state-of-the-art computer and machine learning to analyze live video. When a suspicious or dangerous situation occurs, the system quickly alerts authorities to the address and sends images of the incident. It also activates nearby alarms to locate concerned citizens and help them intervene. There is also a portal that helps classify video clips as normal or abnormal. The system will help speed up emergency response and encourage community participation to ensure safety. Overall, this is a great way to prevent crime and increase everyone’s safety.

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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-03-28
DOI
https://doi.org/10.47392/irjaeh.2025.0132
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection of Criminal Activities and Anomalies through CCTV’s

Abhishek Birajdar, Vijay Sonawane, Rani Aaglave, Rutvik Bedre et al.
International Research Journal on Advanced Engineering Hub (IRJAEH)
Internet of Things and Social Network Interactions
article

Detection of Criminal Activities and Anomalies through CCTV’s

Abhishek Birajdar, Vijay Sonawane, Rani Aaglave, Rutvik Bedre, Vivek Pardeshi
article en

Abstract

The project aims to develop an intelligent system that can detect unusual activities and crimes using CCTV cameras across the state. Since it is difficult to monitor multiple cameras simultaneously, we use state-of-the-art computer and machine learning to analyze live video. When a suspicious or dangerous situation occurs, the system quickly alerts authorities to the address and sends images of the incident. It also activates nearby alarms to locate concerned citizens and help them intervene. There is also a portal that helps classify video clips as normal or abnormal. The system will help speed up emergency response and encourage community participation to ensure safety. Overall, this is a great way to prevent crime and increase everyone’s safety.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(03)
International Institute of Information Technology (IN)
Openalex Percentile: Top 91%
Internet of Things and Social Network Interactions
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